Week of Events
IEEE IAS Atlanta In-Person Meeting (High Resistance Grounding)
IEEE IAS Atlanta In-Person Meeting (High Resistance Grounding)
You are invited to join us for lunch and learning at the IEEE Industry Applications Society - Atlanta Chapter meeting. In-person Meeting Cost: Free (Limited to 15 people with valid IEEE membership) Speaker(s): Joe Campa, Agenda: Registration: 11:30 AM Meeting Starts: 12:00 Noon Critical Components, Inc., 120 Interstate North Pkwy SE, Suite 305, Atlanta, Georgia, United States, 30339, Virtual: https://events.vtools.ieee.org/m/286009
IEEE IAS Atlanta Virtual Meeting (High Resistance Grounding)
IEEE IAS Atlanta Virtual Meeting (High Resistance Grounding)
You are invited to join us for a virtual lunch and learning at the IEEE Industry Applications Society - Atlanta Chapter meeting. Virtual Meeting Cost: Free (Open to IEEE Members, Non-Members, and Students) Speaker(s): Joe Campa, Agenda: Meeting Starts: 12:00 Noon ATLANTA, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/286012
VDL Dr. Turgut Communication, computation, and privacy trade-off in machine learning for smart environments
VDL Dr. Turgut Communication, computation, and privacy trade-off in machine learning for smart environments
Smart assistive environments adapt to the needs and preferences of disabled or elderly users who need help with the activities of daily living. However, the needs and requests of users vary greatly, both due to personal preferences and type of disability. As handcrafting an environment is prohibitively expensive, in recent years significant research was done in systems that use machine learning to create a predictive model of the user. Machine learning, however, typically requires large amounts of data. A stand-alone smart environment, however, only has access to the data collected from its user since it was deployed. A possible solution is to perform centralized, cloud-based learning by pooling the training data collected from multiple users. However, uploading data collected from the personal habits of elderly and disabled users create significant security and privacy concerns. In this talk, we investigate the type of data sharing necessary for learning user models in smart environments and propose several novel considerations. We point out that data sharing is only ethical if the user derives a benefit from it. This implies that the decision to share data must be periodically revisited, it is not a commitment extending indefinitely in the future. We study the data sharing decisions made by users under several machine learning frameworks: local, cloud, and federated learning. We show that most users only benefit from data sharing for a limited interval after the deployment of the system. We also investigate machine learning techniques that predict whether the user will benefit from sharing the data before the data is shared. Co-sponsored by: Tamseel Mahmood - syed.tamseel@ieee.org Speaker(s): Dr. Damla Turgut, Agenda: Bio: Dr. Turgut is Charles Millican Professor of Computer Science at the University of Central Florida (UCF). She is the co-director of the AI Things Laboratory. She held visiting researcher positions at the University of Rome ``La Sapienza'', Imperial College of London, and KTH Royal Institute of Technology, Sweden. Her research interests include wireless ad hoc, sensor, underwater, vehicular, and social networks, edge/cloud computing, smart cities, smart grids, IoT-enabled healthcare and augmented reality, as well as considerations of privacy in the Internet of Things. Dr. Turgut serves on several editorial boards and program committees of prestigious ACM and IEEE journals and conferences. Her most recent honors include the NCWIT 2021 Mentoring Award for Undergraduate Research (MAUR), the UCF Research Incentive Award, and the UCF Women of Distinction Award. Since 2019, she serves as the N2Women Board Co-Chair where she co-leads the activities of the N2Women Board in supporting female researchers in the fields of networking and communications. She is an IEEE ComSoc Distinguished Lecturer, IEEE Senior Member, and the Chair-Elect of the IEEE Technical Committee on Computer Communications (TCCC). Virtual: https://events.vtools.ieee.org/m/286611
Exploration at the Confluence of Three Major Power Electronics Branches
Exploration at the Confluence of Three Major Power Electronics Branches
High-frequency power electronics progresses along three major branches: PWM converters, switched-capacitor converters, and resonant converters. PWM converters have been the workhorse for most power conversion applications today. However, their bulky magnetics limit further power density improvement. Switched-capacitor converters do not need magnetics, but poor voltage regulation prevents them from a wide adoption. Resonant converters have penetrated some applications, but they are not ready to replace the PWM converters for high-power applications due to their high RMS voltage/current. Researchers in the community have searched for new solutions with better efficiency, regulation, and power density. As a result, there has been increased intertwining and interactions among these branches. The UCI Power Electronics Laboratory has been working at the confluence of PWM, resonant, and switched-capacitor converters for >7 years. During this time, we have invented several new switched-capacitor converters and resonant switched-capacitor converters. Recently, we made a breakthrough in a general “PWM-like” control/modulation method applicable to most resonant switched-capacitor converters to achieve full range voltage regulation with only a 2X frequency swing and only one small inductor (nano-henry scale without DC bias). This new generation of power converters has the potential to replace a wide array of conventional PWM converters and dramatically reduce magnetic components or eliminate the bulky magnetics overall in fully-integrated power-chips. This lecture reports our discoveries at the confluence of these major power electronics branches. Speaker(s): Keyue Ma Smedley, Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/287725
Break the bulky magnetic barrier for power conversion
Break the bulky magnetic barrier for power conversion
PWM converters have been the workhorse for most power conversion applications today. However, their bulky magnetics limit further power density improvement. Over the years, researchers recognized that switched-capacitor converters do not need magnetics, but poor voltage regulation prevents them from wide adoption. Resonant converters have penetrated some applications, but they are not ready to replace the PWM converters for high-power applications due to their high RMS voltage/current and limited regulation capability. Researchers in the community have been searching for new solutions with better efficiency, regulation, and power density at the confluence of PWM, resonant, and switching-capacitor converters. The UCI (UC Irvine) Power Electronics Laboratory has dedicated its effort to this search for the last seven years. We have discovered several new switched-capacitor converters and resonant switched-capacitor converters. Recently, we made a breakthrough to realize full-range voltage regulation of resonant switched capacitor converters with one small inductor. In this speech, Dr. Smedley will present a general “PWM-like” control method for resonant switched-capacitor converters with only a 2X frequency swing and only one small inductor (nano-henry scale without DC bias). This new generation of power converters can replace a wide array of conventional PWM converters, dramatically reduce magnetic components, and eventually eliminate the bulky magnetics overall in fully integrated power chips. Speaker(s): Keyue Ma Smedley, Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/287725